Piji Li
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 58 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it; #16,302 of 35,345 by trust here, #12,580 by citations
- Information Systems — 44 citations into it; #4,564 of 8,771 by trust here, #2,361 by citations
- Natural Language Processing — 32 citations into it
- Recommender Systems — 17 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Management Science and Operations Research — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Piji Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ruslan Salakhutdinov
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- David M. Blei
- Yehuda Koren
- Alex Krizhevsky
- Richard Socher
- Ilya Sutskever
- Andrew Y. Ng
Who trusts Piji Li overall
- Xu Chen
- Xiting Wang
- Aminu Da’u
- Yi Tay
- Chong Chen
- Yongfeng Zhang
- Le Wu
- Shuai Zhang
- Yujie Lin
- Junling Liu
Papers from Piji Li's perspective
Ordered by how strongly the researchers Piji Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Unified Model for Opinion Target Extraction and Target Sentiment Prediction (2018) — 354 citations
- Social Collaborative Viewpoint Regression with Explainable Recommendations (2017) — 146 citations
- Neural Rating Regression with Abstractive Tips Generation for Recommendation (2017) — 338 citations